Jonathan N. Thon
Impact in
- Hematology top 0.5%
- Platelet Disorders and Treatments
- Blood groups and transfusion
- Biochemistry top 2%
- Blood transfusion and management
Papers in
- Hematology 26
- Platelet Disorders and Treatments 25
- Blood groups and transfusion 4
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- Blood properties and coagulation 9
- Co-authors
- Joseph E. Italiano (21 shared papers)Joseph E. Italiano (9 shared papers)Kellie R. Machlus (4 shared papers)Dana V. Devine (4 shared papers)John H. Hartwig (4 shared papers)Allen J. Ehrlicher (3 shared papers)Peter Schubert (3 shared papers)Robert Lanza (3 shared papers)
- Journals
- Blood (15 papers)Transfusion (3 papers)The Journal of Cell Biology (2 papers)Cell (2 papers)Blood Advances (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Jonathan N. Thon
40 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 112
- Hematology 1.3k
- Biochemistry 195
- Genetics 248
- Immunology and Allergy 132
- Internal Medicine 73
Countries citing papers authored by Jonathan N. Thon
This map shows the geographic impact of Jonathan N. Thon's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jonathan N. Thon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan N. Thon more than expected).
Fields of papers citing papers by Jonathan N. Thon
This network shows the impact of papers produced by Jonathan N. Thon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jonathan N. Thon. The network helps show where Jonathan N. Thon may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan N. Thon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 199 | |
| 2 | 2012 | 181 | |
| 3 | 2014 | 178 | |
| 4 | 2014 | 158 | |
| 5 | 2012 | 154 | |
| 6 | 2014 | 150 | |
| 7 | 2011 | 119 | |
| 8 | 2012 | 102 | |
| 9 | 2014 | 99 | |
| 10 | 2010 | 97 | |
| 11 | 2014 | 80 | |
| 12 | 2012 | 73 | |
| 13 | 2007 | 72 | |
| 14 | 2007 | 70 | |
| 15 | 2008 | 64 | |
| 16 | 2012 | 63 | |
| 17 | 2011 | 51 | |
| 18 | 2019 | 45 | |
| 19 | 2012 | 42 | |
| 20 | 2012 | 42 |
About Jonathan N. Thon
Jonathan N. Thon is a scholar working on Hematology, Pulmonary and Respiratory Medicine, Molecular Biology, Genetics and Surgery, having authored 40 papers that have together received 2.4k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (25 papers), Blood properties and coagulation (9 papers), Blood transfusion and management (6 papers), Blood groups and transfusion (4 papers), 3D Printing in Biomedical Research (4 papers), Pancreatic function and diabetes (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers) and Renal Diseases and Glomerulopathies (3 papers). The work is most often cited by research in Hematology (1.3k citations), Biochemistry (195 citations), Genetics (248 citations), Immunology and Allergy (132 citations) and Internal Medicine (73 citations). Jonathan N. Thon has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Joseph E. Italiano, Joseph E. Italiano, Kellie R. Machlus, Dana V. Devine, John H. Hartwig, Allen J. Ehrlicher, Peter Schubert, Robert Lanza, Antonija Jurak Begonja and Hannah J. MacLeod. Their work appears in journals such as Blood, Transfusion, The Journal of Cell Biology, Cell and Blood Advances.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.